Anthropic Launches Claude Opus 4.7: Second Most Powerful AI After Mythos
Anthropic launches Claude Opus 4.7, its second most powerful AI model after Mythos—13% coding benchmark gains, agentic workflows, vision upgrades for complex engineering and enterprise tasks.
Anthropic launches Claude Opus 4.7 today, positioning it as their second-most capable model behind the ultra-restricted Mythos Preview—specifically engineered for the brutal frontier of professional software engineering where lesser AIs crack under pressure. From my Mumbai dev consulting vantage, this lands like a production-readiness milestone: 13% resolution gains over Opus 4.6 on 93-task internal coding suites, cracking problems neither 4.6 nor Sonnet 4.6 touched, with low-effort 4.7 matching medium-effort 4.6 at identical $5/$25M token pricing. Early adopters report handing off “hardest coding tasks” requiring constant babysitting—multi-session refactors, self-verifying test suites, architecture from vague specs—all now running autonomously.
Coding stands tallest: SWE-bench Pro hits 64.3% (mid-50s for 4.6), Rakuten production tasks see 3x resolutions with cleaner code/test quality. Self-hosted verification loops slash human review 40-60%—model devises output tests before reporting, persisting file-system memory across days-long agent runs. Vision sharpens dramatically: 3.3x resolution (2,576px edges) parses dense UI screenshots, extracts diagrams, generates slide decks at agency polish. “More tasteful” professional outputs—no wrapper cruft, self-fixing scaffolding that plagued 4.6.
Safety-first design cripples cyber capabilities versus Mythos, blocking high-risk prompts amid hack fears—Anthropic’s “responsible scaling” in action. Adaptive thinking auto-scales effort (xhigh slots between high/max), Claude Code defaults xhigh across plans. Instruction following turns literal—4.6’s loose interpretation needed prompt surgery; 4.7 takes specs precisely, occasionally tripping creative flows.
India’s 4M+ developers gain massive leverage: Legacy COBOL modernization, multi-file refactors spanning 50+ modules, CI-passing test gen first-try. Benchmarks edge GPT-5.4, Gemini 3.1 Pro on agentic coding; trail Mythos across board. Unchanged pricing fuels adoption—Pro teams swap immediately.
Rakuten validates production: Weekly code ships, not benchmarks. xAI leads praise “junior+ unsupervised.” Downsides? Literal prompts need retooling, xhigh doubles high-mode latency. File memory demands structured notes.
Mumbai software houses testing rave: 50-module refactors, architecture diagrams from napkin specs. Future teases multi-agent orchestration.
Anthropic launches Claude Opus 4.7 marks agentic coding’s production prime time—autonomous capacity at human oversight scale. From prototype agents to deployable engineers, Anthropic closes reliability chasm. Devs, model swap today; toughest task to delegate?
